Evidence map›Paper›PMID 37252511›Full record

ArticleCureus2023

An Analysis of Oxycodone and Hydrocodone Distribution Trends in Delaware, Maryland, and Virginia Between 2006 and 2014.

Conor M Eufemio, Joseph D Hagedorn, Kenneth L McCall, Brian J Piper

Abstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Observational
  2. Article
  3. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Conor M EufemioSchool of Medicine, Geisinger Commonwealth School of Medicine, Scranton, USA.
Joseph D HagedornSchool of Medicine, Geisinger Commonwealth School of Medicine, Scranton, USA.
Kenneth L McCallSchool of Pharmacy, University of New England, Biddeford, USA.
Brian J PiperMedical Education, Geisinger Commonwealth School of Medicine, Scranton, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective Opioid medications are widely recognized for their use in analgesia and their addictive properties that have led to the opioid epidemic. Areas with historically high prescribing patterns have been shown to suffer more from the crisis. There is also regional variability in these trends. This study is a county level analysis of oxycodone and hydrocodone use in Delaware, Maryland, and Virginia between 2006 and 2014. Materials and methods A retrospective analysis of oxycodone and hydrocodone distributed as collected by the Drug Enforcement Administration's (DEA) Washington Post Automation of Reports and Consolidated Orders System (ARCOS) in Delaware, Maryland, and Virginia. Raw drug weights in each county were adjusted to "daily average dose" (grams/county population/365) using publicly available population estimates for all state counties. Purchasing data collected from ARCOS was used to compare distribution trends during this period. This study was limited in that ARCOS report quantity of drug distribution rather than average dose of script written.  Results There was a 57.59% increase in the weight of oxycodone and hydrocodone prescribed between 2006 and 2014. Oxycodone prescriptions increased by 75.50% and hydrocodone by 11.05%. Oxycodone increased across all three states between 2006 and 2010 and declined until 2014. Hydrocodone also increased but to a lesser extent than oxycodone. There was substantial variability in daily average dose of both opioids at the county level in all states. Pharmacies accounted for largest portion of oxycodone (69.17%) and hydrocodone (75.27%) purchased in the region. Hospitals accounted for 26.67% of oxycodone and 22.76% of hydrocodone purchased. Practitioners and mid-level providers, including Nurse Practitioners and Physician Assistants, did not significantly contribute to this increase. Conclusion In the states of Maryland, Delaware, and Virginia, the distribution of the prescription opioids oxycodone and hydrocodone increased by 57.59%. Daily average dose increased between 2006 and 2010 in all three states, followed by a decline until 2014. Variability in daily average dose by county highlights the relationship between geography and likelihood of receiving high-dose opioids. Increased monitoring at regional health centers and improving substance abuse treatment infrastructure at the county level may be a more efficient strategy in combating the opioid epidemic. Future research is needed to understand the socioeconomic trends that may influence prescribing trends of opioid medications.

Indexed as

analgesiaopioid use disorderspainpharmaco-epidemiologyprescription opioids

Identifiers

PMID37252511
PMCPMC10224754

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.